xiaolai / the-craft-of-selfteaching
One has no future if one couldn't teach themself.
xiaolai / the-craft-of-selfteaching
DataTalksClub / data-engineering-zoomcamp
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
jakevdp / PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
jackfrued / Python-100-Days
Python - 100天从新手到大师
microsoft / Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
hoochanlon / hamuleite
🌊深度整合全球顶尖学术、金融与教育资源：学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文，并接入 Z-Library 影子图书馆的海量电子书；教育板块收录香港、新加坡从小学到高中以及大学学科教科书；金融板块则聚合香橼、摩根、野村等顶级机构的深度研报，只为打破信息孤岛，构建知识平权普惠知识库。
Barry81-666 / kaggle-portfolio
Curated Kaggle projects in computational biology, medical imaging, data science and machine learning.
AccumulateMore / CV
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
datawhalechina / jev-cookbook
⚡ 适合中国宝宝的 Jev 入门教程｜手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验，从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调，全面掌握 System One 判断模型的开发范式
charliedream1 / ai_quant_trade
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
hugo2046 / QuantsPlaybook
量化研究-券商金工研报复现
jpmorganchase / python-training
Python training for business analysts and traders
guipsamora / pandas_exercises
Practice your pandas skills!
calmrocks / ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
evidentlyai / evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
snakers4 / silero-models
Silero Models: pre-trained text-to-speech models made embarrassingly simple
oracle-devrel / oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
duoan / TorchCode
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
Exorust / TorchLeet
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
AllenDowney / ThinkStats
Notebooks for the third edition of Think Stats
wesm / pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
neo4j-labs / llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
shsarv / Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
py-why / EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
alphacep / vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
roboflow / notebooks
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
genieincodebottle / generative-ai
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Intellindust-AI-Lab / DEIMv2
[DEIMv2] Real Time Object Detection Meets DINOv3
probml / pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
MARKTECHPOST-AI-MEDIA-INC / AI-Agents-Projects-Tutorials
Multi-agent systems, memory, planning, reasoning loops
peterdsharpe / AeroSandbox
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
huggingface / computer-vision-course
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
NirDiamant / Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
ajcr / 100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
AllenDowney / ThinkPython
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
Tanu-N-Prabhu / Python
This repository helps you learn Python and Machine Learning from scratch.
NirDiamant / Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
dusty-nv / jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
google / brax
Massively parallel rigidbody physics simulation on accelerator hardware.
zjunlp / EasyEdit
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
R6410418 / Jackrong-llm-finetuning-guide
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Isi-dev / Google-Colab_Notebooks
A Collection of Google Colab Notebooks for various projects
jinlabneurogenomics / distributed_agent
Sun et al. Distributed AI agents enable comprehensive discovery of biological insights at scale
aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
google / flax
Flax is a neural network library for JAX that is designed for flexibility.
a2aproject / a2a-samples
Samples using the Agent2Agent (A2A) Protocol
a-r-j / graphein
Protein Graph Library
justxor / math-for-ai-2026
Курс-шпаргалка по математике для ИИ и ML 2026: линейая алгебра, матанализ, оптимизация, вероятности, стаистика, теория информации, трансформеры, диффузия, LM. Формулы, картинки, код, 40 задач, 100 вопросов
AkashSingh3031 / The-Complete-FAANG-Preparation
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
HugoBlox / hugo-theme-academic-cv
🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页，AI 生成，Markdown 拥有 👇
Nixtla / nixtla
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
jax-md / jax-md
Differentiable, Hardware Accelerated, Molecular Dynamics
google / jax-cfd
Computational Fluid Dynamics in JAX
mlcommons / croissant
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
vandijklab / cell2sentence
Cell2Sentence: Teaching Large Language Models the Language of Biology
rolling-panda-san / notebooks
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
gpsaggese / gpsaggese.github.io
Course materials, tutorials, and projects for two University of Maryland graduate machine learning and big data classes.
RajatDandekar / build-a-world-model-from-scratch
Build a World Model from Scratch — the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
cyberyjkong / IntroDL
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